Formation and dynamics of exotic hypernuclei in heavy-ion collisions

Feng, Zhao-Qing

doi:10.1103/physrevc.102.044604

Cited by 16 publications

(5 citation statements)

References 49 publications

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“…However, a novel avenue for the investigation of hypernuclei is provided by heavy ion collisions. Hypernuclear research was listed as one of the goals of NICA, FAIR, and HIAF [36][37][38][39][40][41][42]. The groundbreaking research in Dubna [43] established the viability of medium-energy heavy ion collisions for the production of hypernuclei, and the HYPHI collaboration [44] verified these findings.…”

Section: Introductionmentioning

confidence: 99%

Geography of Technology Transfer in China

Liu

2023

East China Normal University Scientific Reports

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Graphs can model complex relationships between objects, enabling a myriad of Web applications such as online page/article classification and social recommendation. While graph neural networks (GNNs) have emerged as a powerful tool for graph representation learning, in an end-to-end supervised setting, their performance heavily relies on a large amount of task-specific supervision. To reduce labeling requirement, the "pre-train, fine-tune" and "pre-train, prompt" paradigms have become increasingly common. In particular, prompting is a popular alternative to fine-tuning in natural language processing, which is designed to narrow the gap between pre-training and downstream objectives in a task-specific manner. However, existing study of prompting on graphs is still limited, lacking a universal treatment to appeal to different downstream tasks. In this paper, we propose GraphPrompt, a novel pre-training and prompting framework on graphs. GraphPrompt not only unifies pre-training and downstream tasks into a common task template, but also employs a learnable prompt to assist a downstream task in locating the most relevant knowledge from the pre-trained model in a task-specific manner. Finally, we conduct extensive experiments on five public datasets to evaluate and analyze GraphPrompt. CCS CONCEPTS• Computing methodologies → Learning latent representations; • Information systems → Data mining.

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Section: Introductionmentioning

confidence: 99%

Geography of Technology Transfer in China

Liu

2023

East China Normal University Scientific Reports

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“…We have in fact confirmed the double-peak structure for 40 Ca + 40 Ca by carrying out explicit calculations but, unfortunately, the statistics is too low to enable a smooth plot to be drawn, as will be appreciated when we come to the comparison between the cross sections in table I. Of course, the double-peak distribution is already observed at HypHI [38], which can only be accounted for by assuming coalescence around the spectator as dominant source of hypernuclei [59,64,85]. As was concluded in Ref.…”

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confidence: 63%

Hyperon dynamics and production of multi-strangeness hypernuclei in heavy-ion collisions at 3A GeV

Cheng,

Feng

2021

Preprint

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Within the microscopic transport, systematic investigation of the many facets of hyperons and hypernuclei up to strangeness S = −2 are carried out for 197 Au + 197 Au and 40 Ca + 40 Ca at the incident energy of 3A GeV. The spatial, temporal and density distributions of hyperon production, absorption and freeze-out are thoroughly investigated. The rapidity and kinetic energy spectra of Ξ hyperons and double Λ hypernuclei are analyzed. It is revealed that the chemical balance of hyperon production is established in baryon-baryon channels while the opposite is found in baryon-meson channels. It turns out that the rapidity spectra of 4,5 ΛΛ X are single-peak and more than two orders of magnitude lower than that of 3 Λ H. Formation of double Λ hypernuclei through Ξ hypernuclei as intermediate states is also discussed in kinematics.

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“…In the LQMD transport model, the hyperons are created by the direct two, three and four-body processes via the baryon-baryon and meson-baryon collisions as follows [34]…”

Section: Model Descriptionmentioning

confidence: 99%

High-density symmetry energy from subthreshold hyperon production in heavy-ion collisions

Zhu¹

2023

Preprint

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The hyperon dynamics in heavy-ion collisions near threshold energy has been investigated within the quantum molecular dynamics transport model. The isospin and momentum dependent hyperonnucleon potential and the threshold energy correction on the hyperon elementary cross section are included in the model. It is found that the high-density symmetry energy is dependent on the isospin ratios Σ − /Σ + and Ξ − /Ξ 0 , in particular in the domain of high kinetic energies. The isospin diffusion in heavy-ion collisions influences the neutron/proton ratio in the high-density region. The Σ − /Σ + ratio depends on the stiffness of symmetry energy, in particular at the beam energy below the threshold value (E th =1.58 GeV), i.e., the kinetic energy spectra of the single ratios, excitation functions and energy spectra of the double ratios in the isotopic reactions of 108 Sn + 112 Sn, 112 Sn + 112 Sn, 124 Sn + 124 Sn and 132 Sn + 124 Sn. The double strangeness ratio Ξ − /Ξ 0 weakly depends on the symmetry energy because of the hyperon-hyperon collision mainly contributing the Ξ production below the threshold energy (E th = 3.72 GeV).

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Formation and dynamics of exotic hypernuclei in heavy-ion collisions

Cited by 16 publications

References 49 publications

Geography of Technology Transfer in China

Geography of Technology Transfer in China

Hyperon dynamics and production of multi-strangeness hypernuclei in heavy-ion collisions at 3A GeV

High-density symmetry energy from subthreshold hyperon production in heavy-ion collisions

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